Clinical Utility Of An AI-Based Model For Detection Of Heart Failure With Preserved Ejection Fraction Using Decision Curve Analysis

Detection of heart failure with preserved ejection fraction (HFpEF) remains challenging due to indeterminate imaging outputs and discordant clinical features. Existing guidelines and clinical algorithms often produce non-diagnostic outcomes, especially in complicated cases. To address this, we developed an artificial intelligence (AI) model to analyze a single echocardiographic video clip for HFpEF detection.

Source: Journal of Cardiac Failure - January 1, 2024 Category: Cardiology Authors: Ross Upton, Ashley P. Akerman, Mihaela Porumb, Christopher G. Scott, Arian Beqiri, Agisilaos Chartsias, Alexander Ryu, William Hawkes, Geoffrey Huntley, Ayana Arystan, Garvan Kane, Sorin Pislaru, Francisco Lopez-Jimenez, Rizwan Sarwar, Jamie O'Driscoll, P Tags: 020 Source Type: research